scholarly journals Using a One Health Approach to Build an Integrated Surveillance Data System

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Wayne Clifford

Objective: Integrate and streamline the collection and analysis of environmental, veterinary, and vector zoonotic data using a One Health approach to data system development.Introduction: Environmental Public Health Zoonotic Disease surveillance includes veternary, environmental, and vector data. Surveillance systems within each sector may appear disparate from each other, although they are actually complimentaly and closely allied. Consolidating and integrating data in to one application can be challenging, but there are commonalities shared by all. The goal of the One Health Integrated Data Sysytem is to standardize data collection, streamline data entry, and integrate these sectors in to one application.Methods: Data Assessment. An assessment of each surveillance function was carried out to evaluate data types and needs.Identify Commonalities. Common data was identified across each of the surveillance areas.Identify Unique Data. Data unique to specific surveillance efforts was identified.Build Data Structure. A back-end data structure was developed that reflected the data needs from each surveillance area.Build Data Entry Interfaces. Data entry interfaces were developed to meet the needs of each surveillance area.Build Data QC. Procedures were developed that run several quality control checks on the data.Build Data Eports. To allow users to carry out more extensive analysis of data, customized data exports were built.Results: This data integration project resulted in:● Reduced time spent entering and managing data● Improved data entry error rates● Increased visibility through automated program metrics● Improved access to data from data usersConclusions: Integrating data and building a data system that reflects the diversity of environmental, veterinary, and vector surveillance data is doable using off-the-shelf database tools. The process of integrating data and building the data structure results in a more intimate understanding of the data revealing opportunities for improving data quality.

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
David Atrubin ◽  
Michael Wiese

This roundtable will focus on how traditional emergency department syndromic surveillance systems should be used to conduct daily or periodic disease surveillance.  As outbreak detection using these systems has demonstrated an equivocal track record, epidemiologists have sought out other interesting uses for these systems.  Over the numerous years of the International Society for Disease Surveillance (ISDS) Conference, many of these studies have been presented; however, there has been a dearth of discussion related to how these systems should be used. This roundtable offers a forum to discuss best practices for the routine use of emergency department syndromic surveillance data.


Author(s):  
Rejane Sobrino ◽  
Marli Souza ◽  
Gisele Oliveira ◽  
Luis Carlos Guillen ◽  
Claudia Coeli ◽  
...  

IntroductionThe National Disease Surveillance Data System (SINAN) is the main tool used by tuberculosis control programs to measure control actions and disease incidence rates in Brazil. Therefore, data quality is essential to support health surveillance and management. Objectives and ApproachThe aim of this study was to propose an algorithm for the qualification of the variables type of entry, treatment outcome, HIV test, HIV/AIDS co-infection and diabetes comorbidity. We conduct a probabilistic record linkage between three databases of the city of Rio de Janeiro: SINAN-Tuberculosis, 2004-2012; the Mortality Information System (SIM), 2009-2013; and AIDS unified database, until 2012 (SINAN-AIDS, SIM registries that AIDS was the basic cause of death, drug distribution and laboratory databases). The criteria for qualifying the variables were based on technical guidelines, published by the Brazilian Ministry of Health. We implemented a script using Structured Query Language. ResultsThe script had 103 rules. There was an 115% increase in the treatment output classified as "dropout" due to a decrease in: i) the number of records with patient transference but that they were not followed by another health care unit; output treatment classified as "ignored"/missing values; records with treatment output classified as "cure" before the end of the treatment. There was a 28% decrease in the number of records with treatment output classified as "death due to tuberculosis" and a 64% increase in those classified as "death due to other causes". There was a 2.4% increase in the number of records with diabetes as a comorbidity, a 5.3% increase in the number of registries with HIV-positive test and a 8.7% increase in TB-HIV/AIDS co-infection. Conclusion/ImplicationsLinking databases is an important strategy for retrieving information from other systems to improve the quality of information to support decision making for TB control.


2020 ◽  
Vol 75 (Supplement_2) ◽  
pp. ii52-ii66
Author(s):  
Monica Compri ◽  
Rodolphe Mader ◽  
Elena Mazzolini ◽  
Giulia de Angelis ◽  
Nico T Mutters ◽  
...  

Abstract Background The JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks have joined efforts to formulate a set of target actions to link the surveillance of antimicrobial usage (AMU) and antimicrobial resistance (AMR) with antimicrobial stewardship (AMS) activities in four different settings. This White Paper focuses on the veterinary setting and embraces the One Health approach. Methods A review of the literature was carried out addressing research questions in three areas: AMS leadership and accountability; AMU surveillance and AMS; and AMR surveillance and AMS. Consensus on target actions was reached through a RAND-modified Delphi process involving over 40 experts in infectious diseases, clinical microbiology, AMS, veterinary medicine and public health, from 18 countries. Results/discussion Forty-six target actions were developed and qualified as essential or desirable. Essential actions included the setup of AMS teams in all veterinary settings, building government-supported AMS programmes and following specific requirements on the production, collection and communication of AMU and AMR data. Activities of AMS teams should be tailored to the local situation and capacities, and be linked to local or national surveillance systems and infection control programmes. Several research priorities were also identified, such as the need to develop more clinical breakpoints in veterinary medicine. Conclusions This White Paper offers a practical tool to veterinary practitioners and policy makers to improve AMS in the One Health approach, thanks to surveillance data generated in the veterinary setting. This work may also be useful to medical doctors wishing to better understand the specificities of the veterinary setting and facilitate cross-sectoral collaborations.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Michelle Carr ◽  
Tunde Onafowokan ◽  
John Fleming ◽  
Tolu Olumuyiwa ◽  
Biru Yang ◽  
...  

ObjectiveTo provide recommendations for future preparedness response efforts based on an assessment of the Post-Hurricane Harvey After-Action Report (AAR).IntroductionOn August 25, 2017 Hurricane Harvey moved onshore near Port Aransas, Texas, eventually overwhelming areas of Houston with between 41-60 inches of rain (Houston Health Department [HHD], 2017). As a category 4 storm, with wind speeds as high as 130 mph, Harvey broke several rainfall records across the state and ended the prolonged period of twelve years in which no major hurricanes had made landfall in the United States (Mersereau, 2017). Harvey ambled at a leisurely pace through Houston and resulted in devastating flooding that destroyed homes and required the evacuation of approximately 37,000 Houstonians to over 78 shelter facilities across the affected area (HHD, 2017). Through concerted efforts, the American Red Cross and the HHD established the shelter at the George R. Brown Convention Center (GRB) and “delivered or coordinated social services, medical and mental health services, disease surveillance and food/sanitary inspection services” for the duration of the need for the shelter (HHD, 2017).MethodsSyndromic surveillance data is essential to understanding the health status of affected communities during and after a disaster. For this abstract, we reviewed data collected from different surveillance systems and programs within the Houston Health Department (HHD), namely Real-Time Outbreak and Surveillance (RODS), Houston Electronic Disease Surveillance System (HEDSS) and other program systems, and reports compiled into the AAR. The AAR contained an assessment of the data collected daily during shelter surveillance and helped identify gaps in the implementation of preparedness plans, current procedures, and best practices. HHD’s Informatics team was responsible for data collection, training of staff and maintaining a cloud based repository of information on surveillance data and resources. A review of the AAR indicated a need for resources for the general shelter population to address the need for pharmacy data, enhanced behavioral support for individuals with mental health needs, dialysis treatment plans and pharmaceutical needs for patients with respiratory illness or hypertension.ResultsFrom August 30, 2017 to September 8, 2017 approximately 3,500 evacuees residing at the GRB shelter were assessed for a variety of medical conditions and complaints. Patient encounters peaked on September 4, 2017, with 705 patient encounters recorded. Data from the AAR suggested there were four most prevalent conditions of immediate need; affecting almost 25% of the shelter population were hypertension (10.4%), mental and behavioral issues (7.9%), diabetes (5.7%) and dialysis or renal failure (0.3%). There were challenges with supply of medications and synchronization of data collection by HHD and partner agencies. The department’s Continuity of Operation Plan (COOP) was voluminous and was not easily accessible during the disaster response. The findings from the After-Action Report indicate that disasters present multidimensional health challenges that can overwhelm advance preparations and more needs to be done to address the problems identified from previous disaster responses to improve on future outcomes.ConclusionsSyndromic surveillance can be strengthened in the following recommended areas for better incorporation into disaster response plans; pharmacy and health related data and data collection.The ingestion of pharmacy data by the syndromic surveillance systems could highlight gaps in the supply of needed medications at pharmacies during and post disaster, data from behavioral health clinics could show whether victims of the disaster who suffer mental health issues are able to access care, and whether dialysis treatment plans were continued. Based on the gaps identified, recommendations include integration of pharmacy data into the City’s disease surveillance system “ESSENCE” for tracking prescriptions and OTC purchases, to ensure adequate preparation for disaster stock levels and identification of sources for reordering when stocks run short.Additionally, it is recommended to revise and standardize data collection tools used during shelter surveillance to streamline the data collection process and to align the data tools of partner agencies, particularly DMAT and Red Cross, to prevent unnecessary duplication of efforts.Finally, the City’s Continuity of Operation Plan (COOP) has been revised since Hurricane Harvey and is periodically assessed and updated. The revised and updated COOP provides a concise and readily accessible document which can be easily reviewed and implemented to support an emergency response.References1. Houston Health Department. (2017). Hurricane Harvey fast facts.2. Houston Health Department. (2017). After-Action Report/Improvement Plan. Retrieved from3. Mersereau, D. (2017). Hurricane Harvey broke multiple weather records. Mental Floss. Retrieved from http://mentalfloss.com/article/556940/pluto-planet-after-all-new-argument-emerges


2019 ◽  
Vol 41 (1) ◽  
pp. 130-144
Author(s):  
Rodrigo Macedo Couto ◽  
Otavio T Ranzani ◽  
Eliseu Alves Waldman

Abstract Zoonotic tuberculosis is a reemerging infectious disease in high-income countries and a neglected one in low- and middle-income countries. Despite major advances in its control as a result of milk pasteurization, its global burden is unknown, especially due the lack of surveillance data. Additionally, very little is known about control strategies. The purpose of this review was to contextualize the current knowledge about the epidemiology of zoonotic tuberculosis and to describe the available evidence regarding surveillance and control strategies in high-, middle-, and low-income countries. We conducted this review enriched by a One Health perspective, encompassing its inherent multifaceted characteristics. We found that the burden of zoonotic tuberculosis is likely to be underreported worldwide, with higher incidence in low-income countries, where the surveillance systems are even more fragile. Together with the lack of specific political commitment, surveillance data is affected by lack of a case definition and limitations of diagnostic methods. Control measures were dependent on risk factors and varied greatly between countries. This review supports the claim that a One Health approach is the most valuable concept to build capable surveillance systems, resulting in effective control measures. The disease characteristics and suggestions to implement surveillance and control programs are discussed.


Geosphere ◽  
2021 ◽  
Author(s):  
Casey J. Duncan ◽  
Marjorie A. Chan ◽  
Elizabeth Hajek ◽  
Diane Kamola ◽  
Nicolas M. Roberts ◽  
...  

The StraboSpot data system provides field-based geologists the ability to digitally collect, archive, query, and share data. Recent efforts have expanded this data system with the vocabulary, standards, and workflow utilized by the sedimentary geology community. A standardized vocabulary that honors typical workflows for collecting sedimentologic and stratigraphic field and laboratory data was developed through a series of focused workshops and vetted/refined through subsequent workshops and field trips. This new vocabulary was designed to fit within the underlying structure of StraboSpot and resulted in the expansion of the existing data structure. Although the map-based approach of StraboSpot did not fully conform to the workflow for sedimentary geologists, new functions were developed for the sedimentary community to facilitate descriptions, interpretations, and the plotting of measured sections to document stratigraphic position and relationships between data types. Consequently, a new modality was added to StraboSpot— Strat Mode—which now accommodates sedimentary workflows that enable users to document stratigraphic positions and relationships and automates construction of measured stratigraphic sections. Strat Mode facilitates data collection and co-location of multiple data types (e.g., descriptive observations, images, samples, and measurements) in geographic and stratigraphic coordinates across multiple scales, thus preserving spatial and stratigraphic relationships in the data structure. Incorporating these digital technologies will lead to better research communication in sedimentology through a common vocabulary, shared standards, and open data archiving and sharing.


2021 ◽  
Vol 6 (1) ◽  
pp. 1-7
Author(s):  
Ana Cláudia Coelho

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) quickly spread from China and crossed international borders. For the first time in this century, the world is facing a nightmare of 2 million deaths due to the respiratory pandemic by January 2021. Most of the emerging or re-emerging pathogens are likely to be zoonotic, and SARS-CoV-2 potentially has an animal origin, a circumstance that is a public health concern and a burden on any country’s economy. Greater awareness and understanding of potential disease promoters and effective disease surveillance systems are crucial for detecting outbreaks of emerging zoonotic diseases as quickly as possible. In order to achieve this goal, there is an urgent need for a One Health approach between human and veterinary medicine. Indeed, the One Health approach, along with all the lessons learned from previous coronavirus threats (SARS- and MERS-CoVs), as well as the advance of science is essential for dealing with emerging zoonosis, including COVID-19. It is urgent to create task forces, networks and all types of collaborations between human and veterinary medicine to prevent future pandemic events.


2013 ◽  
Vol 14 (2) ◽  
pp. 147-150 ◽  
Author(s):  
Mo D. Salman

AbstractAnimal disease surveillance is watching an animal population closely to determine if a specific disease or a group of diseases makes an incursion so that a prior plan of action can be implemented. The purpose of this paper is to review existing tools and techniques for an animal disease-surveillance system that can incorporate the monitoring of climate factors and related data to enhance understanding of disease epidemiology. In recent decades, there has been interest in building information systems by combining various data sources for different purposes. Within the field of animal health, there have only been limited attempts at the integration of surveillance data with relevant climate conditions. Statistical techniques for data integration, however, have been explored and used by several disciplines. Clearly the application of available techniques for linking climate data with surveillance systems should be explored with the aim of facilitating prevention, mitigation, and adaptation responses in the surveillance setting around climate change and animal disease risks. Drawing on this wider body of work, three of the available techniques that can be utilized in the analysis of surveillance data with the available climate data sets are reviewed.


2001 ◽  
Vol 6 (5) ◽  
pp. 71-80 ◽  
Author(s):  
G Hughes ◽  
T Paine ◽  
D Thomas

Surveillance of sexually transmitted infections (STIs) in England and Wales has, in the past, relied principally on aggregated statistical data submitted by all genitourinary medicine clinics to the Communicable Disease Surveillance Centre, supplemented by various laboratory reporting systems. Although these systems provide comparatively robust surveillance data, they do not provide sufficient information on risk factors to target STI control and prevention programmes appropriately. Over recent years, substantial rises in STIs, the emergence of numerous outbreaks of STIs, and changes in gonococcal resistance patterns have necessitated the introduction of more sophisticated surveillance mechanisms. This article describes current STI surveillance systems in England and Wales, including new systems that have recently been introduced or are currently being developed to meet the need for enhanced STI surveillance data.


1997 ◽  
Vol 60 (5) ◽  
pp. 555-566 ◽  
Author(s):  
JOHN J. GUZEWICH ◽  
FRANK L. BRYAN ◽  
EWEN C. D. TODD

This is the first part of a four-part series on foodborne disease surveillance. Although these articles are primarily built on expertise gained within North America, the substance is of value to any community or country wishing to initiate or improve its surveillance system. Foodborne disease surveillance is necessary for preventing further spread of foodborne disease and includes identifying and controlling outbreaks at the time they are occurring; gathering data on incidence of these diseases and prevalence of their etiologic agents, vehicles, and reservoirs; identifying factors that led to the outbreaks; providing a data bank for HACCP systems and risk assessments; estimating health and economic impacts of foodborne diseases; and providing information upon which to base rational food safety program goals and priorities. Reports of outbreaks by local health agencies to regional and, then, national agencies responsible for disease surveillance, laboratory isolations of certain foodborne pathogens from human beings, sentinel community studies, and hazard surveillance are the types of foodborne disease surveillance activities that are used to varying extents in Canada and the U.S. In recent years, some national surveillance reports have been collated internationally in Europe and Latin America. Surveillance at local, state/provincial, national, and international levels must be coordinated for effective and rapid transfer of data. Computer software can assist investigation and management of the information submitted through surveillance networks. Information summarized on individual reports usually includes (a) location of the event, (b) clinical data, (c) epidemiologic data, (d) laboratory findings, and (e) results of on-site investigations. Each outbreak report should be subjected to critical review before classifying it into the various categories of surveillance data. Such a review would also be useful when comparing surveillance data from different places and intervals. Highlights of individual reports are tabulated as line listings that are the direct sources of surveillance data, which are the subject of the second and third parts of this series.


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